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Paid AI safety research programmes compared

A growing number of programmes pay people to spend a few weeks or months on AI safety, governance or policy research. They are not interchangeable. Some pay a senior salary and want established leaders, some pay nothing and take almost anyone, and some are policy placements. Here is how to tell them apart.

The main types of programme

Most programmes fall into one of four types. The type tells you more about whether you will get in than the name does.

TypeWhat it isOpen example
Research fellowshipMonths of mentored research, usually with a stipend and computeAnthropic Fellows Program
Residency for established peopleA short, well-paid placement for people moving into AI safety from another fieldAnthropic Residency (paid AI safety research placements)
Policy and governance fellowshipA placement in a policy or research organisation, often with a stipendTalos Fellowship, Spring 2027 (EU AI policy)
Part-time research campTeam projects alongside your job or studies, often unpaidAI Safety Camp Virtual 2027 (team members)

The fellowships list shows every open programme, soonest deadline first.

What they pay

Pay ranges from nothing to a senior salary, and the figure usually reflects who the programme wants to attract:

Read what the amount is for. A stipend, a salary, a housing allowance and a compute budget are different things, and some programmes quote only one of them.

Who each programme wants

Check work-authorisation rules early. For example, GovAI DC Summer Fellowship 2027 requires US work authorisation, and Anthropic Fellows Program points applicants to its listing for work-authorisation requirements.

Deadlines and timing

Data: 28 of 111 dated AI funding deadlines fall on a weekend. Read the weekend deadline report.

How to choose and apply

  1. Match the type to your situation. If you are changing careers from a senior role, a residency fits. If you are a student or early-career researcher, look at fellowships and camps.
  2. Read the eligibility lines for location and work authorisation before you spend time on the application.
  3. Prepare one clear project. Several programmes ask for a specific research question or project.
  4. Apply to several. Rounds close at different times, and applying to more than one is normal. Our fellowships guide explains how to write the application.

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Frequently asked questions

Do I need a machine-learning background for an AI safety fellowship?

Not always. Anthropic Residency (paid AI safety research placements) says a machine-learning background is not required, while research fellowships such as Iliad Fellowship look for strong mathematical or technical researchers.

Are AI safety fellowships paid?

Many are, but not all. Anthropic Residency (paid AI safety research placements) and Talos Fellowship, Spring 2027 (EU AI policy) pay, while AI Safety Camp Virtual 2027 (team members) offers no stipend except on a few projects with matched donations.

Can I do one while I work or study?

Part-time programmes such as AI Safety Camp Virtual 2027 (team members) are designed for that. Full-time fellowships and residencies usually are not.

Where can I see every open AI safety programme?

Our fellowships list is sorted by deadline and each listing links to the organiser's own page and shows when we last checked it.

Sources

Programme details are quoted from the organisers' pages on the dates shown. advance.to isn't affiliated with any organiser.

  1. Anthropic: Anthropic Fellows Program (checked 31 Oct 2026)
  2. Anthropic: Anthropic Residency (paid AI safety research placements) (checked 9 Nov 2026)
  3. Talos Network: Talos Fellowship, Spring 2027 (EU AI policy) (checked 9 Nov 2026)
  4. AI Safety Camp: AI Safety Camp Virtual 2027 (team members) (checked 31 Oct 2026)
  5. Iliad: Iliad Fellowship (checked 31 Oct 2026)
  6. Lightcone (CNRS & UC Berkeley): Lightcone Research Fellowship (first cohort) (checked 9 Nov 2026)
  7. Centre for the Governance of AI (GovAI): GovAI DC Summer Fellowship 2027 (checked 1 Nov 2026)

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